Published Technical Disclosure Archive

AI-Powered Autonomous Irrigation System Innovation

Publication ID: 24-11856899_0005_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Autonomous Irrigation System Innovation,” Published Technical Disclosure No. 24-11856899_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856899_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,856,899.

Background and Problem Solved

The original patent addressed the need for electrical and electronic monitoring and control of movable towers in an irrigation system. However, it is limited by its reliance on traditional power sources, lack of real-time monitoring, and inability to adapt to changing environmental conditions. The new invention addresses these limitations by introducing autonomous, self-sustaining, and adaptive irrigation systems that integrate with renewable energy sources, utilize advanced sensors and AI-powered decision-making algorithms, and provide real-time monitoring and predictive analytics.

Novelty and Inventive Step

The new invention introduces a paradigm shift in irrigation systems by integrating AI, IoT, and renewable energy to create autonomous, self-sustaining, and adaptive systems that optimize fluid delivery and minimize environmental impact. The inventive step lies in the combination of advanced sensors, AI-powered decision-making algorithms, and real-time monitoring to create a system that can dynamically adjust irrigation patterns and integrate with renewable energy sources.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different types of sensors, AI algorithms, or renewable energy sources. Variations may include the integration of additional features, such as precision farming, crop monitoring, or weather forecasting. The invention could also be adapted for use in non-agricultural applications, such as landscaping or municipal water management.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural industry, particularly in regions with water scarcity or environmental concerns. The market for autonomous and adaptive irrigation systems is expected to grow rapidly as farmers and agricultural companies seek to optimize their operations and reduce their environmental footprint.

CPC Classifications

SectionClassGroup
A A01 A01G25/092
A A01 A01G25/16
E E04 E04H12/344

Field of Art

Agricultural irrigation systems with networked electronic control and monitoring, focusing on movable tower irrigation technologies with emphasis on network-enabled sensing and control systems

Person of Ordinary Skill (PHOSITA) Profile

An electrical engineer or agricultural systems specialist with expertise in networked sensor systems, irrigation control technologies, and embedded network communications, typically holding a BS/MS in electrical engineering or agricultural engineering with 3-5 years professional experience

Obviousness Rationale

A PHOSITA would recognize that the PTD's AI and IoT enhancements represent predictable technological extensions of the source patent's networked irrigation monitoring system. The fundamental network architecture and tower-based sensing framework from US 11856899 provides a direct technological foundation for integrating advanced machine learning and sensor technologies. The proposed variations represent logical incremental improvements using standard engineering techniques for enhancing existing networked irrigation control systems.

Obvious Combinations & Variations

Source Patent Element
Network switches located on multiple irrigation towers enabling inter-tower communication
PTD Variation
AI-powered swarm-based autonomous tower network with dynamic repositioning capabilities
Obviousness Reasoning
Extending existing networked tower communication to include autonomous coordination represents a predictable application of known distributed network control principles
Source Patent Element
Threshold-based positioning and operational parameter modification
PTD Variation
Machine learning models dynamically adjusting irrigation parameters based on real-time sensor data
Obviousness Reasoning
Replacing static threshold logic with adaptive machine learning represents an obvious technological progression using standard algorithmic enhancement techniques
Source Patent Element
Electronic monitoring of tower operational parameters like position, temperature, and current
PTD Variation
IoT and cloud-based comprehensive monitoring platform integrating blockchain for secure data management
Obviousness Reasoning
Expanding existing sensor data collection to cloud-based platforms is a standard engineering approach for enhancing data accessibility and management
Source Patent Element
Electrically controlled irrigation system with network-enabled towers
PTD Variation
Solar-powered autonomous towers with renewable energy integration
Obviousness Reasoning
Incorporating renewable energy sources into existing electrical control architectures represents a predictable design optimization using known power system engineering techniques
35 U.S.C. § 103 Summary: Based on the teachings of US 11856899 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed irrigation system enhancements obvious and lacking inventive step. The combination of networked tower control, sensor integration, and adaptive machine learning represents a straightforward technological progression that would be apparent to a skilled practitioner without requiring undue experimentation or non-obvious engineering solutions.

Original Patent Information

Patent NumberUS 11,856,899
TitleMonitoring and control of a movable tower in an irrigation system
Assignee(s)Reinke Manufacturing Company, Inc.